Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

December 23, 2022


Pages

2755-2770


DOI

Article

Digital marketing solutions based on consumer data and homomorphic encryption

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Authors

Bing Duan Affiliation:
Qinghai Higher Vocational and Technology College, Haidong, Qinghai 810799, China


Abstract

In recent years, homomorphic encryption has attracted much research attention in the international cryptography community and is applied in various industries to enhance data confidentiality. With the advent of the era of big data, more and more data are available through online, using users another how to propose privacy protection models applicable to consumer data application scenarios under the premise of meeting data privacy, security and regulatory requirements, so that the models can formulate accurate marketing strategies more scientifically based on a large amount of consumer data, is the key to the current competition. In this process, more and more people are concerned about privacy confidentiality and security, and homomorphic encryption is of great significance for data processing security.


Keywords

homomorphic encryption, data security, marketing solutions, privacy protection, protection model


Citation

Duan, B. (2021). Digital marketing solutions based on consumer data and homomorphic encryption. Applied Mathematics and Nonlinear Sciences, 6(2), 2755–2770. https://doi.org/10.2478/amns.2021.2.00253

Published by: Engineering Journals

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